Evidence map›Paper›PMID 34072964›Full record

ArticleMetabolites2021

Measurement of Exhaled Nitric Oxide in 456 Lung Cancer Patients Using a Ringdown FENO Analyzer.

Jing Li, Qingyuan Li, Xin Wei, Qing Chen, Meixiu Sun, Yingxin Li

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jing LiInstitute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 100730, China.ORCID 0000-0003-0337-2216
Qingyuan LiInstitute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 100730, China.
Xin WeiInstitute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 100730, China.
Qing ChenNational Clinical Research Center for Cancer, Deparment of Cardio-Pulmonary Function, Cancer Institute & Hospital, Tianjin Medical University, Tianjin 300070, China.
Meixiu SunInstitute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 100730, China.
Yingxin LiInstitute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

the CAMS Initiative for Innovative Medicine 2018-I2M-AI-012the National Science Foundation of China 81471701
6 · The paper itself

Abstract

The objective of this study was to investigate the clinical value of exhaled nitric oxide (NO) for diagnosing lung cancer patients by using a relatively large sample. An online and near-real-time ringdown exhaled NO analyzer calibrated by an electrochemical sensor at clinical was used for breath analysis. A total of 740 breath samples from 284 healthy control subjects (H) and 456 lung cancer patients (LC) were collected. The recorded data included exhaled NO, medications taken within the last half month, demographics, fasting status and smoking status. The LC had a significantly higher level of exhaled NO than the H (H: 21.0 ± 12.1 ppb vs. LC: 34.1 ± 17.2 ppb). The area under the receiver operating characteristic curve for exhaled NO predicting LC and H was 0.728 (sensitivity was 0.798; specificity was 0.55). There was no significant difference in exhaled NO level between groups divided by different types of LC, tumor node metastasis (TNM) stage, sex, smoking status, age, body mass index (BMI) or fasting status. Exhaled NO level alone is not a useful clinical tool for identifying lung cancer, but it should be considered when developing a diagnosis model of lung cancer by using breath analysis.

Indexed as

breath biomarkerscavity ringdown spectroscopy (CRDS)exhaled NOlung cancer

Identifiers

PMID34072964
PMCPMC8230208
OpenAlexW3165439365

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.